Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It fetches a dataset of CSS Named Colors from a GitHub gist and displays key statistics: the file size in kilobytes, the number of rows, and the number of columns. The code primarily uses `d3.csv()` with a Promise-based `.then()` callback, though commented-out alternatives show fetching text with `fetch()` and `async/await`, plus `d3.csvParse()` for manual parsing. The output renders as plain text inside a `<pre>` element.

Hhung2606

Fork of Loading and Parsing CSV Data

This example demonstrates the basic mechanics of loading and parsing CSV data in D3. It fetches a dataset of CSS named colors from a GitHub gist and displays three summary statistics: file size in kilobytes, row count, and column count. The primary implementation uses D3 v5’s `d3.csv` method, which returns a promise, while commented alternatives show equivalent code using the Fetch API with `async`/`await` and `d3.csvParse`. The output is rendered as plain text inside a large `<pre>` element.

CCheng Tang

Fork of Loading and Parsing CSV Data

CCheng Tang

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file containing CSS named colors, displaying the data’s size, row count, and column count in a large text block. It uses D3 v5’s `d3.csv` method to asynchronously fetch the remote dataset, then `d3.csvFormat` and `data.columns` to compute metrics. The code also includes commented alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, illustrating different parsing strategies. The rendering is plain HTML text within a `<pre>` element, with no graphical visualization.

GGeorge Williams

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5’s `d3.csv` method, fetching a dataset of CSS named colors from a GitHub gist. The code calculates and displays the file size in kilobytes, the number of rows, and the number of columns in a large HTML `<pre>` element. It also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse` to show different parsing approaches. The visualization is purely textual, with no graphical rendering, focusing on data-loading mechanics.

UUlbert Alain Odle

Fork of Loading and Parsing CSV Data

This example demonstrates the fundamentals of loading and parsing CSV data using D3.js version 5. It fetches the CSS Named Colors dataset from a GitHub Gist and displays a simple text summary of the file size in kilobytes, row count, and column count. The primary approach uses the `d3.csv` function to fetch and parse the remote CSV file, leveraging Promise-based asynchronous handling. The code also includes commented-out alternatives using native `fetch` with `async`/`await` and the `d3.csvParse` function, alongside a nested Promise "pyramid of doom" example. The output is rendered as large text within an HTML `<pre>` element.

HHind ELMASSAOUDI

Fork of Loading and Parsing CSV Data

This example demonstrates the size and structure of a CSS Named Colors dataset by displaying its file size, row count, and column count as large text. It loads a CSV file from a GitHub gist using the D3.js `d3.csv` method, which returns a promise and parses the data. The code also includes commented-out alternatives that use the Fetch API with async/await and `d3.csvParse`, alongside a nested promise "pyramid of doom" pattern for comparison. Results are rendered into a `<pre>` element.

VVinayak Dandin

Fork of Loading and Parsing CSV Data

This example demonstrates the basic mechanics of loading and parsing CSV data in a web browser, displaying the file size, row count, and column count of the CSS Named Colors dataset from a GitHub gist. The primary implementation uses D3 v5’s `d3.csv` method with a promise chain, while commented-out alternatives show the same task using `fetch` with `async`/`await` and `d3.csvParse`, plus a nested promise “pyramid of doom” pattern. The rendered output is plain text in a large `<pre>` element, with a React-based counterpart provided in `index.js` using the `useEffect` hook to load data asynchronously.

JJason Summercamp